Camera Tracking using natural feature point matching for Augmented Reality
Publications associées (37)
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This work presents a model based real-time method for tracking 3D objects with a monocular camera. Our goal is to implement a tracking algorithm with a non conventional robustness in order to be used in hostile environments. We achieve this goal by integra ...
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This paper presents a markerless tracking algorithm for augmented reality with no constraints in the geometry of the scene. Users pose is estimated using natural feature point extraction and tracking, and the epipolar geometry constraint between camera vi ...
For augmented reality applications, accurate estimation of the camera pose is required. An existing video-based markerless tracking system, developed at the ITS, presents several weaknesses towards this goal. In order to improve the video tracker, several ...
This paper presents a video-based camera tracker that combines marker-based and feature point-based cues in a particle filter framework. The framework relies on their complementary performances. Marker-based trackers can robustly recover camera position an ...
MPEG-7 camera extends the capabilities of conventional cameras by analyzing its scene in order to generate a contentbased description according to the recently approved MPEG- 7 standard. This gives to the camera a large variety of current and potential app ...
This real-time augmented reality demonstration relies on our tracking algorithm described in V. Lepetit et al (2003). This algorithm considers natural feature points, and then does not require engineering of the environment. It merges the information from ...